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How to weaponize LLMs to auto-hijack websites

ID: 1c90ea1d-81aa-536c-830c-9465d5f58125

STIX ID: report--1c90ea1d-81aa-536c-830c-9465d5f58125

Feed Name: The Register (Security)

Threat Score
60/100

Date Published: 2024-02-17

Date Updated: 2026-04-26

Author: Thomas Claburn

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Researchers at UIUC showed that LLM-based agents—using tools like the OpenAI Assistants API, LangChain, and Playwright—can autonomously probe and exploit web application vulnerabilities (including SQL injection, XSS, and CSRF) in sandboxed tests; GPT-4 achieved substantially higher success rates than GPT-3.5 and open-source models, and the paper also discusses cost comparisons and safety/policy implications.

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